Effectiveness of XGBoost Algorithm in Predicting Mortality in Severe TBI

Effectiveness of XGBoost Algorithm in Predicting Mortality in Severe TBI

First Author: Wang Ruoran, Wang Leping Corresponding Author: Xu Jianguo Author Affiliation: West China Hospital, Sichuan University [REF: Wang R, Wang L, Zhang J, He M, Xu J. XGBoost Machine Learning Algorithm Performed Better Than Regression Models in Predicting Mortality of Moderate-to-Severe Traumatic Brain Injury [published online ahead of print, 2022 Apr 14]. World Neurosurg. … Read more

Comprehensive Analysis of OSCSRDEGs in TNBC

Comprehensive Analysis of OSCSRDEGs in TNBC

Research and Development Ideas Here is a preparation by Xiaosen Document Contribution File Case Title: Comprehensive Analysis of Genes Related to Oxidative Stress and Cellular Senescence in Triple-Negative Breast Cancer Published Journal: Heliyon Publication Date: 2024-07-16 Impact Factor: 3.4 [Background] Oxidative stress and cellular senescence (OSCS) significantly impact the occurrence and progression of triple-negative breast … Read more

Predicting POD24 in Follicular Lymphoma Using ML Models

Predicting POD24 in Follicular Lymphoma Using ML Models

POD24 significantly affects the overall survival (OS) of patients with follicular lymphoma (FL) within 24 months of disease progression. Existing FL risk scoring models have been developed using statistical methods such as logistic regression or Cox regression. The rapid development of machine learning has facilitated the advancement of prognostic models. In China, Professor Song Yuqin, … Read more